Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach
Dangerous driving can cause accidents, injuries and loss of life. An efficient assessment helps to identify the absence or degree of dangerous driving to take the appropriate decisions while driving. Previous studies assess dangerous driving through two approaches: (i) using electronic devices or se...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/10/3655 |
| _version_ | 1797495794538905600 |
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| author | Carlos Javier Ronquillo-Cana Pablo Pancardo Martha Silva José Adán Hernández-Nolasco Matias Garcia-Constantino |
| author_facet | Carlos Javier Ronquillo-Cana Pablo Pancardo Martha Silva José Adán Hernández-Nolasco Matias Garcia-Constantino |
| author_sort | Carlos Javier Ronquillo-Cana |
| collection | DOAJ |
| description | Dangerous driving can cause accidents, injuries and loss of life. An efficient assessment helps to identify the absence or degree of dangerous driving to take the appropriate decisions while driving. Previous studies assess dangerous driving through two approaches: (i) using electronic devices or sensors that provide objective variables (acceleration, turns and speed), and (ii) analyzing responses to questionnaires from behavioral science that provide subjective variables (driving thoughts, opinions and perceptions from the driver). However, we believe that a holistic and more realistic assessment requires a combination of both types of variables. Therefore, we propose a three-phase fuzzy system with a multidisciplinary (computer science and behavioral sciences) approach that draws on the strengths of sensors embedded in smartphones and questionnaires to evaluate driver behavior and social desirability. Our proposal combines objective and subjective variables while mitigating the weaknesses of the disciplines used (sensor reading errors and lack of honesty from respondents, respectively). The methods used are of proven reliability in each discipline, and their outputs feed a combined fuzzy system used to handle the vagueness of the input variables, obtaining a personalized result for each driver. The results obtained using the proposed system in a real scenario were efficient at 84.21%, and were validated with mobility experts’ opinions. The presented fuzzy system can support intelligent transportation systems, driving safety, or personnel selection. |
| first_indexed | 2024-03-10T01:54:39Z |
| format | Article |
| id | doaj.art-1429ae7687b14bddbb443453bb130cd1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:54:39Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1429ae7687b14bddbb443453bb130cd12023-11-23T12:58:55ZengMDPI AGSensors1424-82202022-05-012210365510.3390/s22103655Fuzzy System to Assess Dangerous Driving: A Multidisciplinary ApproachCarlos Javier Ronquillo-Cana0Pablo Pancardo1Martha Silva2José Adán Hernández-Nolasco3Matias Garcia-Constantino4Academic Division of Information Science and Technology, Juarez Autonomous University of Tabasco, Cunduacan 86690, Tabasco, MexicoAcademic Division of Information Science and Technology, Juarez Autonomous University of Tabasco, Cunduacan 86690, Tabasco, MexicoAcademic Division of Information Science and Technology, Juarez Autonomous University of Tabasco, Cunduacan 86690, Tabasco, MexicoAcademic Division of Information Science and Technology, Juarez Autonomous University of Tabasco, Cunduacan 86690, Tabasco, MexicoSchool of Computing, Ulster University, Jordanstown BT37 0QB, UKDangerous driving can cause accidents, injuries and loss of life. An efficient assessment helps to identify the absence or degree of dangerous driving to take the appropriate decisions while driving. Previous studies assess dangerous driving through two approaches: (i) using electronic devices or sensors that provide objective variables (acceleration, turns and speed), and (ii) analyzing responses to questionnaires from behavioral science that provide subjective variables (driving thoughts, opinions and perceptions from the driver). However, we believe that a holistic and more realistic assessment requires a combination of both types of variables. Therefore, we propose a three-phase fuzzy system with a multidisciplinary (computer science and behavioral sciences) approach that draws on the strengths of sensors embedded in smartphones and questionnaires to evaluate driver behavior and social desirability. Our proposal combines objective and subjective variables while mitigating the weaknesses of the disciplines used (sensor reading errors and lack of honesty from respondents, respectively). The methods used are of proven reliability in each discipline, and their outputs feed a combined fuzzy system used to handle the vagueness of the input variables, obtaining a personalized result for each driver. The results obtained using the proposed system in a real scenario were efficient at 84.21%, and were validated with mobility experts’ opinions. The presented fuzzy system can support intelligent transportation systems, driving safety, or personnel selection.https://www.mdpi.com/1424-8220/22/10/3655AHPdangerous drivingdriver behaviorDula dangerous driving indexfuzzy systemsintelligent transportation systems |
| spellingShingle | Carlos Javier Ronquillo-Cana Pablo Pancardo Martha Silva José Adán Hernández-Nolasco Matias Garcia-Constantino Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach Sensors AHP dangerous driving driver behavior Dula dangerous driving index fuzzy systems intelligent transportation systems |
| title | Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach |
| title_full | Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach |
| title_fullStr | Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach |
| title_full_unstemmed | Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach |
| title_short | Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach |
| title_sort | fuzzy system to assess dangerous driving a multidisciplinary approach |
| topic | AHP dangerous driving driver behavior Dula dangerous driving index fuzzy systems intelligent transportation systems |
| url | https://www.mdpi.com/1424-8220/22/10/3655 |
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